Role overview
airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Our award-winning products - SignNow, pdfFiller, DocHub, airSlate WorkFlow, Instapage, and US Legal Forms - serve over hundreds of millions of users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work.
We’re in an exciting phase of growth and transformation, with teammates in more than 20 countries across three continents and main hubs in the United States, Poland, Romania, Ukraine and Philippines.
At airSlate, we’re building value for customers and a culture where growth and innovation go hand in hand. We’re looking for people eager to shape products, scale a company, and thrive in a fast-moving environment.
DocHub
We are a small but ambitious team of 20+ technologists on a mission to succeed with our Google-integrated PDF editor and Signature solution – DocHub.
DocHub streamlines document editing, signing, distribution and forms completion to get your documents done. Offering a deep integration with Google Workspace, DocHub allows users to import, export, modify, and sign documents directly from Google apps to ensure smooth business processes and interactive workflows.
DocHub has several million monthly active users and is highly rated in the Google Workspace Marketplace. We are building new features and functionality to target larger customers and will deploy generative AI features this year. Our team has several senior engineers who have worked at DocHub for many years and have a deep understanding of the technology stack. We make decisions quickly and are always searching for ways to streamline our customers' workflows.
And now, we are looking for a Fullstack AI Engineer who is prepared to contribute to the next chapter of our company's growth.
What you'll work on
- Fullstack Development: Build, maintain, and optimize scalable backend features using Ruby on Rails and front-end interfaces for AI integrations using TypeScript.
- API Integration: Connect and manage integrations with major LLM providers (OpenAI, OpenRouter).
- AI Agent Orchestration: Implement and manage multi-step, autonomous AI workflows
- RAG Implementation: Combine retrieval mechanisms with generative models to improve information accuracy and relevance.
- Prompt Engineering: Craft and refine prompts to optimize AI responses and outputs.
- Model Optimization: Opportunity to customize pre-trained models and optimize LLM inference as needed.